Harpreet Sharma

Background

About Harpreet Sharma

I am an experienced educator, researcher, and engineer with over 8 years of expertise in data science, machine learning, and power systems engineering. Currently, I teach data analytics, machine learning, and systems optimization at Northeastern University and Conestoga College, mentoring students to solve real-world problems using tools like Python, R, SQL, and Tableau. As a Power Systems Engineer at Punjab State Power Corporation Limited (PSPCL), I developed optimization models for renewable energy integration, improving grid stability and reducing lifecycle costs by 30%. My work involved mathematical modeling, load flow analysis, and contingency studies, ensuring efficient and reliable energy systems. I hold a PhD in Electrical Engineering (Smart Grid Data Analytics) and have published peer-reviewed research on virtual power plants, renewable energy optimization, and grid resilience. My research leverages AI and machine learning to design sustainable energy solutions and enhance grid reliability. I am passionate about innovation, sustainability, and education, and I thrive at the intersection of data science, AI, and renewable energy. Whether it’s teaching, researching, or developing cutting-edge energy models, I aim to make a meaningful impact in advancing smart grid technologies and preparing the next generation of data scientists and engineers.